TRB 2015 Session Information
Driving Simulators or Naturalistic Observation—Synergies and Conflicts (Workshop 111)
Sunday, January 11, 2015 9:00AM - 12:00PM Convention Center, 101
Jeffrey Allen Greenberg, Ford Motor Company, presiding
Sponsored By:
Statistical Methods (ABJ80)
Vehicle User Characteristics (AND10)
User Information Systems (AND20)
Simulation and Measurement of Vehicle and Operator Performance (AND30)
Program Details
This half-day workshop brings together researchers using Driving Simulators (DS) and Naturalistic Driving Studies (NDS). The workshop begins by examining areas of apparent disagreement between DS and NDS research such as the effect of driver distraction on crash rates. We then explore possible reasons for the different outcomes and finally suggest ways to use DS and NDS as complimentary tools for improving traffic safety.
Presentations
Using Simulator Data for Assessing the Safety Impact of Driver Distraction
Natasha Merat, University of Leeds, United Kingdom, Presentation Number P15-5556
Using Naturalistic Data for Assessing the Safety Impact of Driver Distraction
Joanne Harbluk, Transport Canada, Presentation Number P15-5557
From Field Observation to Simulation- THE Methodological Approach to Understanding Driving Performance
Susan T. Chrysler, Texas A&M Transportation Institute, Presentation Number P15-5559
From Simulation to Field Observation- THE Methodological Approach to Understanding Driving Performance
Richard J. Hanowski, Virginia Tech Transportation Institute, Presentation Number P15-5560
Naturalistic Driving Studies vs. Simulated Driving: Complementary or Competitive Approaches?"
David Shinar, Ben Gurion University of the Negev, Israel, Presentation Number P15-5555
Driving Simulators or Naturalistic Observation—Synergies and Conflicts (Workshop 111)
Sunday, January 11, 2015 9:00AM - 12:00PM Convention Center, 101
Jeffrey Allen Greenberg, Ford Motor Company, presiding
Sponsored By:
Statistical Methods (ABJ80)
Vehicle User Characteristics (AND10)
User Information Systems (AND20)
Simulation and Measurement of Vehicle and Operator Performance (AND30)
Program Details
This half-day workshop brings together researchers using Driving Simulators (DS) and Naturalistic Driving Studies (NDS). The workshop begins by examining areas of apparent disagreement between DS and NDS research such as the effect of driver distraction on crash rates. We then explore possible reasons for the different outcomes and finally suggest ways to use DS and NDS as complimentary tools for improving traffic safety.
Presentations
Using Simulator Data for Assessing the Safety Impact of Driver Distraction
Natasha Merat, University of Leeds, United Kingdom, Presentation Number P15-5556
Using Naturalistic Data for Assessing the Safety Impact of Driver Distraction
Joanne Harbluk, Transport Canada, Presentation Number P15-5557
From Field Observation to Simulation- THE Methodological Approach to Understanding Driving Performance
Susan T. Chrysler, Texas A&M Transportation Institute, Presentation Number P15-5559
From Simulation to Field Observation- THE Methodological Approach to Understanding Driving Performance
Richard J. Hanowski, Virginia Tech Transportation Institute, Presentation Number P15-5560
Naturalistic Driving Studies vs. Simulated Driving: Complementary or Competitive Approaches?"
David Shinar, Ben Gurion University of the Negev, Israel, Presentation Number P15-5555
Data Analysis Contest Results Presentation and Awards
Sunday, January 11, 2015 1:30PM - 4:30PM Convention Center, 152A
Linda Ng Boyle, University of Washington, presiding
Sponsored By:
National Transportation Data Requirements and Programs (ABJ10)
Urban Transportation Data and Information Systems (ABJ30)
Artificial Intelligence and Advanced Computing Applications (ABJ70)
Statistical Methods (ABJ80)
Traveler Behavior and Values (ADB10)
Transportation Demand Forecasting (ADB40)
Program Details
This workshop reveals the results of a competition to evaluate the accuracy of various data analytic methodologies for forecasting trends in safety analyses and mobility. This data analysis competition was open to all areas of statistics, econometrics, evolutionary and genetic algorithms, decision and regression trees, support vector regression, computational intelligence, and more. The main objective of the 2015 Transportation Research Board Data Contest is to provide a platform for researchers, practitioners and students to learn about cutting edge statistical methods employed in the transportation field. The TRB Contest allows for a fair comparison of various statistical methods on a common dataset.
The workshop includes an overview of the dataset used, announcement of the winners, and presentations from each winner.
Sunday, January 11, 2015 1:30PM - 4:30PM Convention Center, 152A
Linda Ng Boyle, University of Washington, presiding
Sponsored By:
National Transportation Data Requirements and Programs (ABJ10)
Urban Transportation Data and Information Systems (ABJ30)
Artificial Intelligence and Advanced Computing Applications (ABJ70)
Statistical Methods (ABJ80)
Traveler Behavior and Values (ADB10)
Transportation Demand Forecasting (ADB40)
Program Details
This workshop reveals the results of a competition to evaluate the accuracy of various data analytic methodologies for forecasting trends in safety analyses and mobility. This data analysis competition was open to all areas of statistics, econometrics, evolutionary and genetic algorithms, decision and regression trees, support vector regression, computational intelligence, and more. The main objective of the 2015 Transportation Research Board Data Contest is to provide a platform for researchers, practitioners and students to learn about cutting edge statistical methods employed in the transportation field. The TRB Contest allows for a fair comparison of various statistical methods on a common dataset.
The workshop includes an overview of the dataset used, announcement of the winners, and presentations from each winner.
Transportation Statistics Interest Group (TSIG) Open Meeting
Sunday, January 11, 2015 5:00PM - 6:00PM Marriott Marquis, Tulip (Mezz)
Li Leung, Bureau of Transportation Statistics, presiding
Sponsored By:
Urban Transportation Data and Information Systems (ABJ30)
Statistical Methods (ABJ80)
Visualization in Transportation (ABJ95)
Sunday, January 11, 2015 5:00PM - 6:00PM Marriott Marquis, Tulip (Mezz)
Li Leung, Bureau of Transportation Statistics, presiding
Sponsored By:
Urban Transportation Data and Information Systems (ABJ30)
Statistical Methods (ABJ80)
Visualization in Transportation (ABJ95)
Tribute to Matthew Karlaftis
Sunday, January 11, 2015 5:00PM - 6:30PM Convention Center, 144C
Linda Ng Boyle, University of Washington, presiding
Sponsored By:
Section - Data and Information Systems (ABJ00)
Program Details
This session will remember and recognize the contributions of Matt Karlaftis to TRB and to transportation research and education. Dr. Karlaftis was a rising star in the transportation community in Europe and the United States. He served on many TRB committees in transit, data, statistics, and artificial intelligence and was a role model to many young researchers. He left a lasting legacy of scholarship and professionalism. Join your TRB colleagues and friends in remembering Matt’s contributions.
Presentations
Introduction
Linda Ng Boyle, University of Washington, Presentation Number P15-7188
Remembrances
Kumares C. Sinha, Purdue University, Presentation Number P15-7189
Remembrances
Simon Washington, Queensland University of Technology, Australia, Presentation Number P15-7190
Remembrances
Nikolas Geroliminis, Ecole Polytechnique Fédérale de Lausanne, Switzerland, Presentation Number, P15-7191
Remembrances
Konstantinos Kepaptsoglou, National Technical University of Athens, Greece, Presentation Number P15-7192
Remembrances
Antony Stathopoulos, National Technical University of Athens, Greece, Presentation Number P15-7193
Sunday, January 11, 2015 5:00PM - 6:30PM Convention Center, 144C
Linda Ng Boyle, University of Washington, presiding
Sponsored By:
Section - Data and Information Systems (ABJ00)
Program Details
This session will remember and recognize the contributions of Matt Karlaftis to TRB and to transportation research and education. Dr. Karlaftis was a rising star in the transportation community in Europe and the United States. He served on many TRB committees in transit, data, statistics, and artificial intelligence and was a role model to many young researchers. He left a lasting legacy of scholarship and professionalism. Join your TRB colleagues and friends in remembering Matt’s contributions.
Presentations
Introduction
Linda Ng Boyle, University of Washington, Presentation Number P15-7188
Remembrances
Kumares C. Sinha, Purdue University, Presentation Number P15-7189
Remembrances
Simon Washington, Queensland University of Technology, Australia, Presentation Number P15-7190
Remembrances
Nikolas Geroliminis, Ecole Polytechnique Fédérale de Lausanne, Switzerland, Presentation Number, P15-7191
Remembrances
Konstantinos Kepaptsoglou, National Technical University of Athens, Greece, Presentation Number P15-7192
Remembrances
Antony Stathopoulos, National Technical University of Athens, Greece, Presentation Number P15-7193
Research in Statistical Methods in Transportation (Session 303)
Monday, January 12, 2015 10:45AM - 12:30PM Convention Center, Hall E
Panagiotis Ch. Anastasopoulos, State University of New York, Buffalo, presiding
Sponsored By:
Statistical Methods (ABJ80)
Presentations
An Application of the Negative Binomial-Generalized Exponential Model for Analyzing Traffic Crash Data with Excess Zeros (15-3383)
Prathyusha Vangala, Texas A&M University
Dominique Lord, Texas A&M University
Srinivas Reddy Geedipally, Texas A&M Transportation Institute
Bayesian Inference for Network Flow Problems Considering Unknown Route Choice Probabilities (15-1110)
Zhen Tan, Cornell University
H. Oliver Gao, Cornell University
Improving Crash Prediction Methods with a Generalized Additive Model (15-1636)
Md. Razaur Rahman Shaon, South Dakota State University
Xiao Qin, South Dakota State University
Multivariate Full-Bayesian Hotspot Identification and Ranking: A New Technique (15-0159)
Emanuele Sacchi, University of British Columbia, Canada
Tarek Sayed, University of British Columbia, Canada
Karim El-Basyouny, University of Alberta, Canada
Performance Measure of Travel Time Reliability of Emergency Vehicles in an Urban Region (15-3552)
Zhenhua Zhang, University at Buffalo, State University of New York
Qing He, State University of New York, Buffalo
Jizhan Gou, Sabra, Wang & Associates, Inc.
XiaoLing Li, Virginia Department of Transportation
A Doubly Stochastic Point Process Model for Modeling Crashes along a Corridor (15-5494)
Sami Demiroluk, Rutgers University
Kaan Mehmet Ali Ozbay, New York University
Classification of Gaps at Uncontrolled Intersections and Midblock Crossings Using Support Vector Machines (15-5600)
Digvijay Sampatrao Pawar, Indian Institute of Technology, Bombay
Gopal R. Patil, Indian Institute of Technology, Bombay
A Generalized Event Count Model for Crash Data Analysis (15-1326)
Zhirui Ye, Southeast University, China
Yueru Xu, Southeast University, China
Robust Estimation of Bluetooth-Based Travel Times through Markov Chains (15-4036)
Alfredo Nantes, Queensland University of Technology, Australia
Edward Chung, Queensland University of Technology, Australia
Dong Ngoduy, University of Leeds, United Kingdom
Support Vector Machine in Crash Prediction at the level of Traffic Analysis Zones: Accessing the Spatial Proximity Effects (15-2838)
Ni Dong, Central South University, China
Ming Ma, Ministry of Transport, China
Helai Huang, Central South University, China
Yanjun Ma, Ministry of Transport, China
Liang Zheng, Central South University, China
A Fixed Effects Bivariate Ordered Probit Analysis of Perceived and Observed Aggressive Driving Behavior: A Driving Simulation Study (15-4479)
Nima Golshani, State University of New York, Buffalo
Panagiotis Ch. Anastasopoulos, State University of New York, Buffalo
Kevin Hulme, State University of New York, Buffalo
Modeling crash rates for a mountainous highway using refined-scale panel data (15-2398)
Xiaoxiang Ma, Colorado State University
Feng Chen, Tongji University, China
Suren Chen, Colorado State University
An Empirical Exploratory Analysis of Factors Affecting Highway Segment Hazard-Level Likelihood Using Random Parameters Ordered Probit Regression (15-4862)
SeyedAta Nahidi, State University of New York, Buffalo
Nima Golshani, State University of New York, Buffalo
Panagiotis Ch. Anastasopoulos, State University of New York, Buffalo
Crash Frequency Analysis Using Hurdle Models with Random Effects Considering Refined Panel Data (15-4786)
Feng Chen, Tongji University, China
Xiaoxiang Ma, Colorado State University
Suren Chen, Colorado State University
Hybrid short-term freeway speed prediction methods based on periodic analysis (15-4925)
Yajie Zou, University of Washington
Xuedong Hua, Southeast University,China
Yanru Zhang, University of Maryland, College Park
Yinhai Wang, University of Washington
Exploring Nonlinear Effects of Traffic Crash Determinants Using a Novel Poisson-Mixed Multivariate Adaptive Regression Splines Model (15-5420)
Yanru Zhang, University of Maryland, College Park
Ximiao Jiang, Federal Highway Administration
Ali Haghani, University of Maryland, College Park
Baoshan Huang, University of Tennessee, Knoxville
Comprehensive Pavement Evaluation with an Objective Approach (15-5312**)
Shi Qiu, Beijing University of Technology, China
Danny X. Xiao, Louisiana Transportation Research Center
Shaoqing Huang, Oklahoma State University
Long Li, National Engineering Research Center of Road Maintenance Technologies, China
Kelvin C. P. Wang, Oklahoma State University
Evaluation of the Heterogeneous Effects of Traffic Conditions on Real-Time Crash Risk Using Bayesian Hierarchical Logit Model with Cross-Level Interactions (15-4263)
Chengcheng Xu, Southeast University, China
Pan Liu, Southeast University, China
Wei Wang, Southeast University, China
Zhibin Li, Southeast University, China
Monday, January 12, 2015 10:45AM - 12:30PM Convention Center, Hall E
Panagiotis Ch. Anastasopoulos, State University of New York, Buffalo, presiding
Sponsored By:
Statistical Methods (ABJ80)
Presentations
An Application of the Negative Binomial-Generalized Exponential Model for Analyzing Traffic Crash Data with Excess Zeros (15-3383)
Prathyusha Vangala, Texas A&M University
Dominique Lord, Texas A&M University
Srinivas Reddy Geedipally, Texas A&M Transportation Institute
Bayesian Inference for Network Flow Problems Considering Unknown Route Choice Probabilities (15-1110)
Zhen Tan, Cornell University
H. Oliver Gao, Cornell University
Improving Crash Prediction Methods with a Generalized Additive Model (15-1636)
Md. Razaur Rahman Shaon, South Dakota State University
Xiao Qin, South Dakota State University
Multivariate Full-Bayesian Hotspot Identification and Ranking: A New Technique (15-0159)
Emanuele Sacchi, University of British Columbia, Canada
Tarek Sayed, University of British Columbia, Canada
Karim El-Basyouny, University of Alberta, Canada
Performance Measure of Travel Time Reliability of Emergency Vehicles in an Urban Region (15-3552)
Zhenhua Zhang, University at Buffalo, State University of New York
Qing He, State University of New York, Buffalo
Jizhan Gou, Sabra, Wang & Associates, Inc.
XiaoLing Li, Virginia Department of Transportation
A Doubly Stochastic Point Process Model for Modeling Crashes along a Corridor (15-5494)
Sami Demiroluk, Rutgers University
Kaan Mehmet Ali Ozbay, New York University
Classification of Gaps at Uncontrolled Intersections and Midblock Crossings Using Support Vector Machines (15-5600)
Digvijay Sampatrao Pawar, Indian Institute of Technology, Bombay
Gopal R. Patil, Indian Institute of Technology, Bombay
A Generalized Event Count Model for Crash Data Analysis (15-1326)
Zhirui Ye, Southeast University, China
Yueru Xu, Southeast University, China
Robust Estimation of Bluetooth-Based Travel Times through Markov Chains (15-4036)
Alfredo Nantes, Queensland University of Technology, Australia
Edward Chung, Queensland University of Technology, Australia
Dong Ngoduy, University of Leeds, United Kingdom
Support Vector Machine in Crash Prediction at the level of Traffic Analysis Zones: Accessing the Spatial Proximity Effects (15-2838)
Ni Dong, Central South University, China
Ming Ma, Ministry of Transport, China
Helai Huang, Central South University, China
Yanjun Ma, Ministry of Transport, China
Liang Zheng, Central South University, China
A Fixed Effects Bivariate Ordered Probit Analysis of Perceived and Observed Aggressive Driving Behavior: A Driving Simulation Study (15-4479)
Nima Golshani, State University of New York, Buffalo
Panagiotis Ch. Anastasopoulos, State University of New York, Buffalo
Kevin Hulme, State University of New York, Buffalo
Modeling crash rates for a mountainous highway using refined-scale panel data (15-2398)
Xiaoxiang Ma, Colorado State University
Feng Chen, Tongji University, China
Suren Chen, Colorado State University
An Empirical Exploratory Analysis of Factors Affecting Highway Segment Hazard-Level Likelihood Using Random Parameters Ordered Probit Regression (15-4862)
SeyedAta Nahidi, State University of New York, Buffalo
Nima Golshani, State University of New York, Buffalo
Panagiotis Ch. Anastasopoulos, State University of New York, Buffalo
Crash Frequency Analysis Using Hurdle Models with Random Effects Considering Refined Panel Data (15-4786)
Feng Chen, Tongji University, China
Xiaoxiang Ma, Colorado State University
Suren Chen, Colorado State University
Hybrid short-term freeway speed prediction methods based on periodic analysis (15-4925)
Yajie Zou, University of Washington
Xuedong Hua, Southeast University,China
Yanru Zhang, University of Maryland, College Park
Yinhai Wang, University of Washington
Exploring Nonlinear Effects of Traffic Crash Determinants Using a Novel Poisson-Mixed Multivariate Adaptive Regression Splines Model (15-5420)
Yanru Zhang, University of Maryland, College Park
Ximiao Jiang, Federal Highway Administration
Ali Haghani, University of Maryland, College Park
Baoshan Huang, University of Tennessee, Knoxville
Comprehensive Pavement Evaluation with an Objective Approach (15-5312**)
Shi Qiu, Beijing University of Technology, China
Danny X. Xiao, Louisiana Transportation Research Center
Shaoqing Huang, Oklahoma State University
Long Li, National Engineering Research Center of Road Maintenance Technologies, China
Kelvin C. P. Wang, Oklahoma State University
Evaluation of the Heterogeneous Effects of Traffic Conditions on Real-Time Crash Risk Using Bayesian Hierarchical Logit Model with Cross-Level Interactions (15-4263)
Chengcheng Xu, Southeast University, China
Pan Liu, Southeast University, China
Wei Wang, Southeast University, China
Zhibin Li, Southeast University, China
Statistical Methodology Committee Meeting
Tuesday, January 13, 2015 8:00AM - 12:00PM Marriott Marquis, Supreme Court (M4)
Linda Ng Boyle, University of Washington, presiding
Sponsored By:
Statistical Methods (ABJ80)
Agenda for the Committee Meeting (click here)
Linda Boyle's Presentation at the Committee meeting (Click here)
Tuesday, January 13, 2015 8:00AM - 12:00PM Marriott Marquis, Supreme Court (M4)
Linda Ng Boyle, University of Washington, presiding
Sponsored By:
Statistical Methods (ABJ80)
Agenda for the Committee Meeting (click here)
Linda Boyle's Presentation at the Committee meeting (Click here)
Meet the Author: Ezra Hauer, "The Art of Regression Modeling in Road Safety"
Tuesday, January 13, 2015 5:45PM - 7:15PM Convention Center, 103B
Paul P. Jovanis, Safety and System Users Group Chair, presiding
Sponsored By:
Safety and Systems Users Group (AN000)
Safety Data, Analysis and Evaluation (ANB20)
Highway Safety Performance (ANB25)
Tuesday, January 13, 2015 5:45PM - 7:15PM Convention Center, 103B
Paul P. Jovanis, Safety and System Users Group Chair, presiding
Sponsored By:
Safety and Systems Users Group (AN000)
Safety Data, Analysis and Evaluation (ANB20)
Highway Safety Performance (ANB25)